Conduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns

Precise spike timing is considered to play a fundamental role in communications and signal processing in biological neural networks. Understanding the mechanism of spike timing adjustment would deepen our understanding of biological systems and enable advanced engineering applications such as effici...

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Bibliographic Details
Main Author: Takashi Matsubara
Format: Artigo
Language:Inglês
Published: Frontiers Media S.A. 2017-11-01
Series:Frontiers in Computational Neuroscience
Subjects:
spiking neural network
temporal coding
delay learning
activity-dependent myelination
spike timing-dependent plasticity
unsupervised learning
Online Access:http://journal.frontiersin.org/article/10.3389/fncom.2017.00104/full
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